摘要
军工企事业单位长期服务于国防科技领域,受制度、专业、人员结构等影响,科技成果转化工作存在一定特殊性。以某军工研究所为例,对影响科技成果转化的因素进行归纳和分析。使用解释结构模型(ISM)法,建立4级多层解释结构模型,得到影响科技成果转化的表层直接影响因素、浅层间接影响因素、中层间接影响因素、深层根本影响因素,各层级因素间存在递进关系。使用交叉影响矩阵相乘法(MICMAC)进行分类,得到影响科技成果转化的根本因素、干预因素和目标因素,对不同类型因素分类实施,能更有效推动科技成果转化。研究结果对推动军工企事业单位科技成果转化工作提供参考借鉴。
Military industrial enterprises and institutions have long served in the field of national defense science and technology.Affected by systems,professions,and personnel structure,there are certain characteristics in the transformation of scientific and technological achievements.Taking a military research institute as an example,the factors influencing the transformation of scientific and technological achievements were summarized and analyzed,and the Interpretative Structure Model(ISM)method was used to establish a 4-level multi-layer interpretive structural model.Indirect influencing factors at the middle level,indirect influencing factors at the middle level,and fundamental influencing factors at the deep level.There is a progressive relationship between the factors at each level:the low level factors affect the high level factors through a certain way;use the cross influence matrix multiplication(MICMAC)to classify and obtain The fundamental factors,intervention factors and target factors that affect the transformation of scientific and technological achievements,and the classification and implementation of different types of factors can more effectively promote the transformation of scientific and technological achievements.The research results have a certain reference role in promoting the transformation of scientific and technological achievements in military industrial enterprises and institutions.
作者
赵艳文
李敏
蒋诗才
ZHAO Yanwen;LI Min;JIANG Shicai(Center of Composite Technology,AVIC Manufacturing Technology Institute,Beijing 101300,China)
出处
《科技创业月刊》
2020年第6期61-65,共5页
Journal of Entrepreneurship in Science & Technology
关键词
科技成果转化
解释结构模型
交叉影响矩阵相乘法
影响因素
transformation of scientific and technological achievements
Interpretive Structural Model
cross influence matrix multiplication
influence factors